SDAV (Scalable Data Management, Analysis and Visualization) was formally announced March 29th as part of the Obama Administration's "Big Data Research and Development Initiative".

Dr. Choudhary is a PI on the DOE SDAV initiative.
Related Links:
• HPC wire article
• Department of Energy announcement
• White House announcement
• UC Berkeley announcement
• DOE (Department of Energy) Scalable Data Management, Analysis and Visualization website

Exciting News! White House Invitation.
Received an invitation from the White House and will attend the Big Data Event on March 29th in Washington DC. The purpose of the Big Data Event is to address the challenges and opportunities relating to "Big Data". Specifically, the Big Data Event provides the opportunity to learn about several new federal efforts relating to big data and to provide a discussion forum where leaders from government, academia and industry can work together on this important challenge.

Recognition of DOE (Department of Energy) supported research through the NSF (National Science Foundation) Expeditions program on climate science problems. The results of this research will be featured in an advertisement by North Carolina State University in the Chronicle of Higher Education and will be published as an article on the DOE (Department of Energy) website. Dr. Choudhary and Dr. Nagiza Samatova have been invited to present this work to the ASCAC (Advanced Scientific Computing Advisory Committee) of the DOE, 03/2012.


International Conference on High Performance Computing (HiPC 2011) Keynote speaker, Bangalore, India 12/2011
"Discovering Knowledge from Massive Social Networks and Science Data - Next Frontier for HPC", (program) (abstract).

Distinguished Lecture Series, Boston University 09/2011
"Discovering Knowledge from Massive Data and Social Networks".

Understanding Climate Change Workshop, University of Minnesota 08/2011,
"Developing Scalable and Power-Efficient Data Mining Kernels"

Data Intensive Computing Workshop, The City University of New York 07/2011
"Discovering Knowledge from Massive Social and Science Network Unstructured Data".